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    Wyświetlanie 1-3 z 3
    Tytuł:
    Leaching of heavy metals from MSWI fly ash : experiments vs. simulation
    Autorzy:
    Qiu, Q
    Jiang, X.
    Chen, Z.
    Lu, S.
    Ni, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/205253.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    simulation
    MSWI fly ash
    microwave
    hydrothermal treatment
    Visual MINTEQ
    Opis:
    In this work, pH-dependence experiments and leaching modeling using Visual MINTEQ were performed to evaluate the stability and simulate the leaching characteristics of heavy metals in municipal solid waste incineration (MSWI) fly ash. Modeling the equilibrium concentration of Cd, Cu, Cr, Ni, Pb and Zn in raw and treated fly ash was the main target and was conducted over a pH range of 0.5–14. In addition, simulation of the leaching behavior of MSWI fly ash with different additives was also conducted. The treated fly ash was solidified by a microwave-assisted hydrothermal process with added phosphate. The initial elemental concentrations of MSWI fly ash, including raw and treated fly ash, were detected by a microwave apparatus and inductively coupled plasma atomic emission spectroscopy (ICP-AES). The ICP-AES analysis showed that most leaching concentrations of treated fly ash decreased considerably compared to the raw fly ash. The simulation results indicated that the dissolution/precipitation simulation models of Zn, Cu and Pb were broadly consistent with the experimental results, while the leaching behaviors of Ni, Cr and Cd were determined by both dissolution/precipitation and surface complexation mechanisms. In addition, the models of reagent solidification revealed that the stabilization effect of Na2S was better than that of Na2CO3. This model will be useful in the evaluation of the leaching concentrations of heavy metals in fly ash.
    Źródło:
    Archives of Environmental Protection; 2018, 44, 2; 55-61
    2083-4772
    2083-4810
    Pojawia się w:
    Archives of Environmental Protection
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparative study on the classification methods for breast cancer diagnosis
    Autorzy:
    Qiu, Y.
    Zhou, G.
    Zhao, Q.
    Cichocki, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/200743.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    breast cancer
    mammography
    DDSM
    comparative study
    deep learning
    rak piersi
    mammografia
    Badanie porównawcze
    uczenie głębokie
    Opis:
    Digital mammography is one of the most widely used approaches for breast cancer diagnosis. Many researchers have demonstrated the superiority of machine learning methods in breast cancer diagnosis using different mammography databases. Since these methods often have different pros and cons, which may confuse doctors and researchers, an elaborate comparison and examination among them is urgently needed for practical breast cancer diagnosis. In this study, we conducted a comprehensive comparative study of the state-of-the-art machine learning methods that are promising in breast cancer diagnosis. For this purpose we analyze the largest mammography diagnosis database: Digital Database for Screening Mammography (DDSM). We considered various approaches for feature extraction including principal component analysis (PCA), nonnegative matrix factorization (NMF), spatial-temporal discriminant analysis (STDA) and those for classification including linear discriminant analysis (LDA), random forests (RaF), k-nearest neighbors (kNN), as well as deep learning methods including convolutional neural networks (CNN) and stacked sparse autoencoder (SSAE). This paper can serve as a guideline and useful clues for doctors who are going to select machine learning methods for their breast cancer computer-aided diagnosis (CAD) systems as well for researchers interested in developing more reliable and efficient methods for breast cancer diagnosis.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 6; 841-848
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Automatic Laser Interferometer And Vision Measurement System For Stripe Rod Calibration
    Autorzy:
    Zhao, M.
    Huang, Q.-H.
    Zhu, L.-J.
    Qiu, Z.-M.
    Powiązania:
    https://bibliotekanauki.pl/articles/221047.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    stripe edge
    automatic control
    laser interferometer
    vision measurement
    Opis:
    In order to calibrate the stripe precision of a leveling rod, an automatic laser interferometer and a vision measurement system were designed by Xi’an University of Technology in China. The rod was driven by a closed-loop control and the data were collected at the stop state to ensure precision. The laser interferometer provided not only the long distance data but also a position feedback signal in the automatic control loop. CCD camera and a vision measurement method were used to inspect the stripe edge position and defect. Apixel-equivalent self-calibration method was designed to improve precision. ROI (regions of interest) method and an outline tracing method were designed to quickly extract multiple stripe edges. A combination of the image data with the interferometer data reduces control difficulty and ensures the measurement accuracy. The vision measurement method reached sub-pixel precision and the defective edges were reported. The system can automatically calibrate a stripe leveling rod with a high degree of efficiency and precision.
    Źródło:
    Metrology and Measurement Systems; 2015, 22, 4; 491-502
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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